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El. knyga: Investigating the Social World: The Process and Practice of Research

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(University of Massachusetts Boston USA)
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  • Išleidimo metai: 21-Oct-2022
  • Leidėjas: Sage Publications, Inc
  • Kalba: eng
  • ISBN-13: 9781071817087
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  • Formatas: EPUB+DRM
  • Išleidimo metai: 21-Oct-2022
  • Leidėjas: Sage Publications, Inc
  • Kalba: eng
  • ISBN-13: 9781071817087
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Investigating the Social World: The Process and Practice of Research, Tenth Edition provides the critical skills necessary to evaluate and carry out research. Each chapter integrates instruction in the core research methods with investigation of interesting aspects of the social world, including updated examples to reflect the tumultuous world since 2020. Russell K. Schutt seeks to communicate the excitement of social research and the importance of carefully evaluating the methods used in that research.

Also available as a digital option (courseware). Learn more about 978-1-0718-7123-2, Investigating the Social World: The Process and Practice of Research - Vantage Digital Option, Tenth Edition.
About the Author xix
Preface xxi
Acknowledgments xxix
SECTION I FOUNDATIONS FOR SOCIAL RESEARCH
1(108)
Chapter 1 Science, Society, and Social Research
2(29)
Learning About the Social World
4(3)
Motives for Social Research
7(1)
Avoiding Errors in Reasoning About the Social World
8(1)
Observing
9(2)
Generalizing
11(1)
Reasoning
12(1)
Reevaluating
12(2)
Science and Social Science
14(1)
The Scientific Approach
15(2)
Pseudoscience or Science
17(1)
Types of Social Research
18(1)
Descriptive Research
18(1)
Exploratory Research
19(1)
Explanatory Research
20(1)
Evaluation Research
21(1)
Strengths and Limitations of Social Research
22(1)
Alternative Research Orientations
23(1)
Quantitative and/or Qualitative Methods
23(1)
Philosophical Perspectives
24(1)
Basic Science or Applied Research
24(1)
The Role of Values
24(1)
Conclusions
25(2)
Key Terms
27(1)
Highlights
27(2)
Discussion Questions
29(1)
SPSS Exercises
29(2)
Chapter 2 The Process and Problems of Social Research
31(44)
Social Research Questions
33(1)
Identifying Social Research Questions
34(1)
Refining Social Research Questions
34(1)
Evaluating Social Research Questions
35(1)
Feasibility
35(1)
Social Importance
35(1)
Scientific Relevance
36(1)
Social Theories
37(2)
Scientific Paradigms
39(1)
Searching for Prior Research
40(1)
Searching the Literature
40(3)
Searching the Web
43(2)
Reviewing Prior Research
45(2)
Single-Article Reviews: Aggressive Policing and Educational Performance of Minority Youth
47(2)
Integrated Literature Reviews: When Does Arrest Matter?
49(2)
Systematic Literature Reviews: Second Responder Programs and Repeat Family Abuse Incidents
51(5)
Social Research Strategies
56(2)
Explanatory Research
58(1)
Deductive Research
58(2)
Body-Worn Cameras and the Research Circle
60(2)
Inductive Research
62(1)
An Inductive Approach to Explaining Support for Black Lives Matter
63(1)
Exploratory Research
64(1)
Black Youths' Strategies for Navigating Police Contact
64(1)
Descriptive Research
65(1)
Social Research Standards
66(1)
Measurement Validity
67(1)
Generalizability
68(1)
Causal Validity
69(1)
Authenticity
70(1)
Conclusions
70(1)
Key Terms
71(1)
Highlights
71(2)
Discussion Questions
73(1)
SPSS Exercises
73(2)
Chapter 3 Research Ethics and Research Proposals
75(34)
Historical Background
78(3)
Ethical Principles
81(1)
Achievement of Valid Results
81(2)
Honesty and Openness
83(2)
Protection of Research Participants
85(1)
Avoid Harming Research Participants
85(4)
Obtain Informed Consent
89(1)
Avoid Deception in Research. Except in Limited Circumstances
90(2)
Maintain Privacy and Confidentiality
92(1)
Consider Uses of Research So That Benefits Outweigh Risks
92(2)
Informed Consent Forms
94(4)
The Institutional Review Board
98(2)
Social Research Proposals
100(3)
Case Study: Evaluating a Public Health Program
103(2)
Conclusions
105(1)
Key Terms
106(1)
Highlights
106(2)
Discussion Questions
108(1)
SPSS Exercises
108(1)
SECTION II FUNDAMENTALS OF SOCIAL RESEARCH
109(118)
Chapter 4 Conceptualization and Measurement
110(40)
Concepts
112(1)
Conceptualization in Practice
113(1)
Tolerance
113(1)
Poverty
113(4)
From Concepts to Indicators
117(1)
Operationalizing the Concept of Race
118(2)
Operationalizing Perceived Threat From Immigrants
120(2)
The Inductive Approach to Conceptualization
122(1)
Measurement
122(1)
Constructing Questions
123(3)
Making Observations
126(1)
Collecting Unobtrusive Measures
127(1)
Physical Trace Evidence
127(1)
Using Available Data
127(1)
Coding Content
128(1)
Taking Pictures
128(1)
Combining Measurement Operations
129(1)
Levels of Measurement
130(1)
Nominal Level of Measurement
131(1)
Ordinal Level of Measurement
132(1)
Interval Level of Measurement
133(1)
Ratio Level of Measurement
133(2)
The Special Case of Dichotomies
135(1)
Comparison of Levels of Measurement
135(1)
Evaluating Measures
136(1)
Measurement Validity
136(1)
Face Validity
137(1)
Content Validity
138(1)
Criterion Validity
138(1)
Construct Validity
138(1)
Measurement Reliability
139(1)
Multiple Times: Test-Retest and Alternate Forms
139(1)
Multiple Indicators: Interitem and Split-Half
140(1)
Multiple Observers: Interobserver and Intercoder
140(2)
Ways to Improve Reliability and Validity
142(1)
Conclusions
143(1)
Key Terms
144(1)
Highlights
144(3)
Discussion Questions
147(2)
SPSS Exercises
149(1)
Chapter 5 Sampling and Generalizability
150(43)
Sample Planning
152(1)
The Purpose of Sampling
152(1)
Define Sample Components and the Population
152(2)
Sample Generalizability
154(2)
Assess the Diversity of the Population
156(1)
Consider a Census
157(1)
Probability and Representativeness
158(6)
Probability Sampling Methods
164(1)
Simple Random Sampling
165(1)
Systematic Random Sampling
166(1)
Stratified Random Sampling
167(5)
Multistage Cluster Sampling
172(1)
Probability Sampling Methods Compared
173(1)
Nonprobability Sampling Methods
174(1)
Availability (Convenience) Sampling
175(1)
Quota Sampling
176(2)
Purposive Sampling
178(1)
Snowball Sampling
179(1)
Respondent-Driven Sampling
179(1)
Lessons About Sample Quality
179(2)
Generalizability With Web-Based Samples
181(1)
Generalizability in Qualitative Research
182(1)
Sampling Distributions
183(1)
Estimating Sampling Error
184(2)
Sample Size Considerations
186(1)
Conclusions
187(1)
Key Terms
187(1)
Highlights
188(3)
Discussion Questions
191(1)
SPSS Exercises
191(2)
Chapter 6 Research Design and Causation
193(34)
Units of Analysis
196(1)
Individual and Group
196(2)
The Ecological Fallacy and Reductionism
198(2)
Cross-Sectional and Longitudinal Designs
200(1)
Cross-Sectional Designs
200(2)
Longitudinal Designs
202(5)
Nomothetic or Idiographic Causal Explanations
207(1)
Nomothetic Causal Explanations
208(1)
Idiographic Causal Explanations
209(1)
Criteria for Nomothetic Causal Explanations
210(2)
Association
212(1)
Time Order
213(1)
Experimental Designs
213(1)
Nonexperimental Designs
213(1)
Nonspuriousness
214(2)
Randomization
216(1)
Statistical Control
216(2)
Cautions for Nomothetic Causal Explanations
218(1)
Mechanism
218(1)
Context
219(1)
Comparing Research Designs
220(2)
Conclusions
222(1)
Key Terms
222(1)
Highlights
223(2)
Discussion Questions
225(1)
SPSS Exercises
226(1)
SECTION III BASIC SOCIAL RESEARCH DESIGNS
227(202)
Chapter 7 Experiments
228(32)
True Experiments
230(1)
Experimental and Comparison Groups
230(2)
Pretest and Posttest Measures
232(1)
Randomization
233(1)
Limitations of True Experimental Designs
234(1)
Summary: Causality in True Experiments
235(1)
Association Between the Hypothesized Independent and Dependent Variables
236(1)
Time Order of Effects of One Variable on the Others
236(1)
Nonspurious Relationships Between Variables
236(1)
Mechanism That Creates the Causal Effect
236(1)
Context in Which Change Occurs
236(2)
Quasi-Experiments
238(1)
Nonequivalent Control Group Designs
238(1)
Aggregate Matching
238(1)
Individual Matching
239(1)
Before-and-After Designs
240(2)
Summary: Causality in Quasi-Experiments
242(1)
Association Between the Hypothesized Independent and Dependent Variables
242(1)
Time Order of Effects of One Variable on the Others
242(1)
Nonspurious Relationships Between Variables
242(1)
Mechanism That Creates the Causal Effect
243(1)
Context in Which Change Occurs
243(1)
Nonexperimental Ex Post Facto Control Group Designs
244(1)
Causal (Internal] Validity in Experiments
244(1)
Sources of Internal Invalidity Reduced by a Comparison Group
244(1)
Sources of Internal Invalidity Reduced by Randomization
245(1)
Sources of Internal Invalidity That Require Attention While the Experiment
Is in Progress
246(2)
Generalizability in Experiments
248(1)
Sample Generalizability
248(1)
Factorial Surveys
249(2)
External Validity
251(1)
Interaction of Testing and Treatment
251(1)
Ethical Issues in Experimental Research
252(1)
Deception
252(2)
Selective Distribution of Benefits
254(1)
Conclusions
255(1)
Key Terms
255(1)
Highlights
256(2)
Discussion Questions
258(1)
SPSS Exercises
259(1)
Chapter 8 Survey Research
260(41)
Survey Research in the Social Sciences
261(1)
Attractions of Survey Research
262(1)
Versatility
262(1)
Efficiency
262(1)
Generalizability
262(1)
The Omnibus Survey
263(1)
Errors in Survey Research
264(1)
Poor Measurement
264(1)
Nonresponse
264(1)
Inadequate Coverage of the Population
264(1)
Sampling Error
265(1)
Writing Survey Questions
265(1)
Avoid Confusing Phrasing
265(2)
Minimize the Risk of Bias
267(1)
Maximize the Utility of Response Categories
267(2)
Avoid Making Either Disagreement or Agreement Disagreeable
269(2)
Minimize Fence-Sitting and Floating
271(1)
Combining Questions in Indexes
272(3)
Designing Questionnaires
275(1)
Build on Existing Instruments
275(1)
Refine and Test Questions
275(1)
Add Interpretive Questions
276(1)
Maintain Consistent Focus
277(1)
Order the Questions
277(1)
Make the Questionnaire Attractive
278(1)
Consider Language and Culture
279(1)
Organizing Surveys
279(1)
Mailed, Self-Administered Surveys
280(3)
Group-Administered Surveys
283(1)
Telephone Surveys
284(1)
Reaching Sample Units
285
Maximizing Response to Phone Surveys
284(2)
In-Person Interviews
286(1)
Maximizing Response to Interviews
287(1)
Web Surveys
288(2)
Mixed-Mode Surveys
290(1)
A Comparison of Survey Designs
291(2)
Ethical Issues in Survey Research
293(1)
Conclusions
294(1)
Key Terms
294(1)
Highlights
295(3)
Discussion Questions
298(1)
SPSS Exercises
299(2)
Chapter 9 Quantitative Data Analysis
301(48)
Introducing Statistics
303(1)
Case Study: The Likelihood of Voting
303(3)
Preparing for Data Analysis
306(1)
Displaying Univariate Distributions
307(1)
Graphs
307(1)
Bar Chart
308(1)
Histograms
308(1)
Frequency Polygon
309(1)
Misuse of Graphs
310(1)
Frequency Distributions
311(1)
Ungrouped Data
312(1)
Grouped Data
312(2)
Combined and Compressed Distributions
314(1)
Summarizing Univariate Distributions
315(1)
Measures of Central Tendency
316(1)
Mode
316(1)
Median
317(1)
Mean
317(1)
Median or Mean?
318(2)
Measures of Variation
320(1)
Range
321(1)
Interquartile Range
322(1)
Variance
322(1)
Standard Deviation
323(1)
Cross-Tabulating Variables
324(1)
Constructing Contingency Tables
324(3)
Graphing Association
327(2)
Describing Association
329(1)
Evaluating Association
330(3)
Controlling for a Third Variable
333(1)
Intervening Variables
333(1)
Extraneous Variables
334(3)
Specification
337(1)
Regression Analysis
338(3)
Analyzing Data Ethically
341(2)
Conclusions
343(1)
Key Terms
343(1)
Highlights
344(3)
Discussion Questions
347(1)
SPSS Exercises
347(2)
Chapter 10 Qualitative Methods
349(38)
Fundamentals of Qualitative Methods
351(1)
History of Qualitative Research
351(1)
Features of Qualitative Research
352(1)
Collection Primarily of Qualitative Rather Than Quantitative Data
352(1)
A Focus on Previously Unstudied Processes and Unanticipated Phenomena
352(1)
Exploratory Research Questions, With a Commitment to Inductive Reasoning
352(1)
Sensitivity to the Subjective Rote of the Researcher (Reflexivity)
353(1)
An Orientation to Social Context, to the Interconnections Between Social Phenomena
Rather Than to Their Discrete Features
353(1)
A Focus on Human Subjectivity, on the Meanings That Participants Attach to Events and That People Give to Their Lives
353(1)
Use of Idiographic Rather Than Nomothetic Causal Explanation
353(1)
Acceptance--by Some Qualitative Researchers--of a Constructivist Philosophy
354(1)
Adaptive Research Design, in Which the Design Develops as the Research Progress
355(1)
Styles of Qualitative Research
355(1)
The Case Study
355(1)
Ethnography
356(1)
Digital Ethnography
357(1)
Hybrid Ethnography
357(1)
Participant Observation
358(1)
Choosing a Role
358(1)
Covert Observation
358(2)
Overt Observation
360(1)
Overt Participation (Participant Observer)
360(1)
Covert Participation
361(2)
Entering the Field
363(1)
Developing and Maintaining Relationships
363(1)
Sampling People and Events
364(3)
Taking Notes
367(1)
Managing the Personal Dimensions
367(2)
Intensive Interviewing
369(2)
Establishing and Maintaining a Partnership
371(1)
Asking Questions and Recording Answers
372(1)
Interviewing Online
372(2)
Focus Groups
374(1)
Generalizability in Qualitative Research
375(1)
Ethical Issues
376(1)
Voluntary Participation
377(1)
Subject Well-Being
377(1)
Identity Disclosure
378(1)
Confidentiality
379(1)
Appropriate Boundaries
379(1)
Researcher Safety
380(1)
Conclusions
381(1)
Key Terms
382(1)
Highlights
382(3)
Discussion Questions
385(1)
SPSS Exercises
386(1)
Chapter 11 Qualitative Data Analysis
387(42)
Features of Qualitative Data Analysis
389(1)
Qualitative Data Analysis as an Art
390(2)
Qualitative Compared With Quantitative Data Analysis
392(1)
Techniques of Qualitative Data Analysis
393(1)
Documentation
394(1)
Coding, Categorization, and Condensation
395(4)
Examination and Display of Relationships
399(1)
Corroboration and Legitimization of Conclusions
400(1)
Reflection on the Researcher's Role
401(1)
Alternatives in Qualitative Data Analysis
402(1)
Grounded Theory
402(2)
Abductive Analysis
404(1)
Case-Oriented Understanding
404(1)
Conversation Analysis
405(1)
Narrative Analysis
406(3)
Qualitative Comparative Analysis
409(1)
Combining Qualitative Methods
410(1)
Visual Sociology
411(3)
Systematic Observation
414(1)
Participatory Action Research
415(3)
Computer-Assisted Qualitative Data Analysis
418(2)
Ethics in Qualitative Data Analysis
420(2)
Privacy, Confidentiality, and Anonymity
422(1)
Intervention and Advocacy
423(1)
Research Integrity and Qquality
423(1)
Ownership of Data and Conclusions
423(1)
Use and Misuse of Results
424(1)
Conclusions
424(1)
Key Terms
425(1)
Highlights
425(2)
Discussion Questions
427(1)
Computer-Assisted Qualitative Data Analysis
428(1)
SECTION IV COMPLEX SOCIAL RESEARCH DESIGNS
429(163)
Chapter 12 Mixed Methods
430(23)
History of Mixed Methods
432(2)
Diagramming Mixed Methods
434(2)
Types of Mixed Methods
436(1)
Integrated Mixed-Methods Designs
436(2)
Embedded Mixed-Methods Designs
438(1)
Staged Mixed-Methods Designs
438(2)
Complex Research Program Mixed-Methods Designs
440(3)
Strengths and Limitations of Mixed Methods
443(5)
Ethics and Mixed Methods
448(1)
Conclusions
449(1)
Key Terms
450(1)
Highlights
450(2)
Discussion Questions
452(1)
SPSS Exercises
452(1)
Chapter 13 Evaluation and Policy Research
453(35)
History of Evaluation Research
456(1)
Evaluation Basics
457(2)
Questions for Evaluation Research
459(1)
Needs Assessment
459(2)
Evaluability Assessment
461(2)
Process Evaluation
463(3)
Impact Analysis
466(3)
Efficiency Analysis
469(2)
Design Decisions
471(1)
Black Box Evaluation or Program Theory
471(2)
Researcher or Stakeholder Orientation
473(2)
Quantitative or Qualitative Methods
475(1)
Simple or Complex Outcomes
476(2)
Groups or Individuals
478(1)
Policy Research
478(2)
Ethics in Evaluation
480(3)
Conclusions
483(1)
Key Terms
483(1)
Highlights
484(2)
Discussion Questions
486(1)
SPSS Exercises
487(1)
Chapter 14 Using Secondary Data and Big Data
488(33)
Secondary Data Analysis
490(1)
Overview
490(2)
Inter-university Consortium for Political and Social Research
492(1)
Types of Data Available From ICPSR
492(1)
Obtaining Data From ICPSR
493(2)
Secondary Data From Government and Other Sources
495(1)
U.S. Census Bureau
496(1)
Integrated Public Use Microdata Series
496(1)
Bureau of Labor Statistics
497(1)
Other Government Sources
497(1)
Other Data Sources
497(1)
Societal Experts Action Network (SEAN)
498(1)
Harvard's Dataverse
499(1)
International Data Sources
499(1)
Qualitative Data Sources
499(1)
Challenges for Secondary Data Analyses
500(5)
Big Data
505(1)
Background
505(2)
Examples of Research Using Big Data
507(2)
Digital Methods
509(2)
Challenges for Using Big Data
511(1)
Ethical Issues With Secondary Data and Big Data
512(4)
Conclusions
516(1)
Key Terms
517(1)
Highlights
517(2)
Discussion Questions
519(1)
SPSS Exercise
520(1)
Chapter 15 Historical and Comparative Methods and Content Analysis
521(38)
Overview of Historical and Comparative Research Methods
522(2)
Historical Social Science Methods
524(1)
Historical Events Research
525(1)
Event-Structure Analysis
526(1)
Oral History
526(2)
Historical Process Research
528(1)
Cautions for Historical Methods
529(2)
Comparative Social Science Methods
531(1)
Comparative Cross-Sectional Research
531(5)
Comparative Historical Research
536(4)
Comparative Case Study Designs
540(1)
Cautions for Comparative Methods
541(2)
Demographic Analysis
543(2)
Content Analysis
545(3)
Identify a Population of Documents or Other Textual Sources
548(1)
Determine the Units of Analysis
548(1)
Select a Sample of Units From the Population
549(1)
Design Coding Procedures for the Variables to Be Measured
549(4)
Develop Appropriate Statistical Analyses
553(2)
Ethical Issues in Historical and Comparative Research and Content Analysis
555(1)
Conclusions
555(1)
Key Terms
556(1)
Highlights
556(2)
Discussion Questions
558(1)
SPSS Exercises
558(1)
Chapter 16 Summarizing and Reporting Research
559(33)
Writing Research
560(2)
Displaying Research
562(3)
Performing Meta-Analyses
565
Case Study: Vaccine Intentions Across
28(539)
Large National Samples
567(2)
Reporting Research
569(1)
Journal Articles
570(1)
Case Study.- Does Protest Against Police Violence Matter?
570(2)
Applied Research Reports
572(1)
Findings From Living in Boston During COVID-19: Economic Impact
573(2)
Framing an Applied Report
575(2)
Research Videos
577(1)
Research Posters and Presentations
577(3)
Reporting Quantitative and Qualitative Research
580(2)
Ethics, Politics, and Research Reports
582(2)
Plagiarism
584(2)
Conclusions
586(1)
Key Terms
587(1)
Highlights
587(3)
Discussion Questions
590(1)
SPSS Exercises
590(2)
Appendix A Questions to Ask About a Research Article 592(2)
Appendix B Table of Random Numbers 594(5)
Glossary 599(17)
Bibliography 616(46)
Index 662